AI Optimization Tightens the Fastest Known Matrix-Multiplication Bound
A new research preprint combines gradient-based optimization, GPU-scale parallelism, and AlphaEvolve to lower the best known upper bound…
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Artificial Intelligence (AI)
From the newsroom
A new research preprint combines gradient-based optimization, GPU-scale parallelism, and AlphaEvolve to lower the best known upper bound…
Alibaba’s new 27-billion-parameter open-weight model keeps its predecessor’s broad scale while claiming gains across coding, agent and computer-use…
HumanTracker pairs 153 hours of motion data with a learned score designed to catch the contact and stability…
GitHub agent apps bring specialized analytics, security, rollout, and operations agents into issues and pull requests, shifting software…
Two new studies show why repository-scale correctness, repeatable execution and system coordination remain harder than generating plausible code.
Three new studies show why agent instructions need provenance, contract-aware compression, and traceable reuse as they become operational…
Three new papers show why safer AI agents need provenance-aware rules, evolving harnesses, recovery paths, and protected validation…
A new study finds that plotting telecom time-series can reduce AI input tokens and energy use, while independent…
A new 23-model study argues that reliable AI must reject misleading context without learning to ignore information that…